1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
|
#include "caffe2/operators/length_split_op.h"
namespace caffe2 {
REGISTER_CPU_OPERATOR(LengthsSplit, LengthsSplitOp<CPUContext>);
OPERATOR_SCHEMA(LengthsSplit)
.NumInputs(1, 2)
.NumOutputs(1)
.ScalarType(TensorProto::INT32)
.SetDoc(R"DOC(
Given input vector LENGTHS, and input n_split, LengthsSplit returns
a single output vector. It "splits" each length into n_split values which add
up to the original length. It will attempt to do equal splits, and if not possible,
it orders larger values first. If the n_split is larger than the length, zero
padding will be applied.
e.g. LENGTHS = [9 4 5]
n_split = 3
Y = [3 3 3 2 1 1 2 2 1]
e.g. LENGTHS = [2, 1, 2]
n_split = 3
Y = [1 1 0 1 0 0 1 1 0]
)DOC")
.Arg("n_split", "Number of splits for each element in LENGTHS")
.Input(0, "LENGTHS", "Mx1 Input tensor denoting INT32 lengths")
.Input(
1,
"n_split",
"(Optional) Number of splits for each element in LENGTHS (overrides argument)")
.Output(0, "Y", "(M*n_split)x1 Output vector denoting split lengths");
// TODO: Write gradient for this when needed
GRADIENT_NOT_IMPLEMENTED_YET(LengthsSplit);
} // namespace caffe2
|
